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spiritfather/Melinoe-Qwen3-8-27B-VL-i1-GGUF overview

About weighted/imatrix quants of https://huggingface.co/bgg1996/Melinoe Qwen3 8 27B VL Benchmarked on CaliperBench https://caliperbench.com — a creative writin…

transformersgguftext-generationcreative-writingimatrixenbase_model:bgg1996/Melinoe-Qwen3-8-27B-VLbase_model:quantized:bgg1996/Melinoe-Qwen3-8-27B-VLlicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~888.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
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Pipeline
text-generation

Repository Files & Downloads

16 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Melinoe-Qwen3-8-27B-VL.i1-IQ3_M.ggufGGUFIQ3_M11.89 GBDownload
Melinoe-Qwen3-8-27B-VL.i1-IQ3_S.ggufGGUFIQ3_S11.74 GBDownload
Melinoe-Qwen3-8-27B-VL.i1-IQ4_NL.ggufGGUFIQ4_NL14.94 GBDownload
Melinoe-Qwen3-8-27B-VL.i1-IQ4_XS.ggufGGUFIQ4_XS14.26 GBDownload
Melinoe-Qwen3-8-27B-VL.i1-Q2_K.ggufGGUFQ2_K10.12 GBDownload
Melinoe-Qwen3-8-27B-VL.i1-Q3_K_L.ggufGGUFQ3_K_L13.56 GBDownload
Melinoe-Qwen3-8-27B-VL.i1-Q3_K_M.ggufGGUFQ3_K_M12.57 GBDownload
Melinoe-Qwen3-8-27B-VL.i1-Q3_K_S.ggufGGUFQ3_K_S11.41 GBDownload
Melinoe-Qwen3-8-27B-VL.i1-Q4_0.ggufGGUFQ4_014.68 GBDownload
Melinoe-Qwen3-8-27B-VL.i1-Q4_1.ggufGGUFQ4_116.15 GBDownload
Melinoe-Qwen3-8-27B-VL.i1-Q4_K_M.ggufGGUFQ4_K_M15.66 GBDownload
Melinoe-Qwen3-8-27B-VL.i1-Q4_K_S.ggufGGUFQ4_K_S14.74 GBDownload
Melinoe-Qwen3-8-27B-VL.i1-Q5_K_M.ggufGGUFQ5_K_M18.19 GBDownload
Melinoe-Qwen3-8-27B-VL.i1-Q5_K_S.ggufGGUFQ5_K_S17.67 GBDownload
Melinoe-Qwen3-8-27B-VL.i1-Q6_K.ggufGGUFQ6_K20.89 GBDownload
mmproj-Melinoe-Qwen3-8-27B-VL-BF16.ggufGGUFBF16888.0 MBDownload

Model Details

Model IDspiritfather/Melinoe-Qwen3-8-27B-VL-i1-GGUF
Authorspiritfather
Pipelinetext-generation
Licenseapache-2.0
Base modelbgg1996/Melinoe-Qwen3-8-27B-VL
Last modified2026-10-20T02:13:43.000Z

Model README

---

base_model: bgg1996/Melinoe-Qwen3-8-27B-VL

language:

  • en

library_name: transformers

license: apache-2.0

quantized_by: spiritfather

tags:

  • text-generation
  • creative-writing
  • gguf
  • imatrix

---

About

weighted/imatrix quants of https://huggingface.co/bgg1996/Melinoe-Qwen3-8-27B-VL

> Benchmarked on CaliperBench — a creative-writing benchmark scoring prose craft, roleplay and willingness rather than general intelligence. See this model's scores: caliperbench.com/m/melinoe-qwen3.8-27b-vl.

> Static (non-imatrix) quants of this model are at spiritfather/Melinoe-Qwen3-8-27B-VL-GGUF.

> imatrix (importance matrix) computed over bartowski calibration_datav3. Weighted quants spend precision where it matters most — the low bit-rates (IQ1–IQ4) are meaningfully better than same-size static quants; at Q5/Q6 the difference is negligible.

> Vision: this is a VL model. llama.cpp keeps the vision tower OUT of the main GGUF, so multimodal use needs mmproj-Melinoe-Qwen3-8-27B-VL-BF16.gguf alongside your chosen quant (llama-server -m <quant>.gguf --mmproj mmproj-Melinoe-Qwen3-8-27B-VL-BF16.gguf). Text-only use needs just the quant.

<!-- provided-files -->

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

| Link | Type | Size/GB | Notes |

|:-----|:-----|--------:|:------|

| GGUF | Q2_K | 10.9 | |

| GGUF | Q3_K_S | 12.3 | |

| GGUF | IQ3_S | 12.6 | |

| GGUF | IQ3_M | 12.8 | |

| GGUF | Q3_K_M | 13.5 | IQ3_S probably better |

| GGUF | Q3_K_L | 14.6 | |

| GGUF | IQ4_XS | 15.3 | |

| GGUF | IQ4_NL | 16.0 | |

| GGUF | Q4_0 | 15.8 | |

| GGUF | Q4_K_S | 15.8 | optimal size/speed/quality |

| GGUF | Q4_K_M | 16.8 | fast, recommended |

| GGUF | Q4_1 | 17.3 | |

| GGUF | Q5_K_S | 19.0 | |

| GGUF | Q5_K_M | 19.5 | |

| GGUF | Q6_K | 22.4 | practically like static Q6_K |

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